Senior C/C++ Software Scientist with remote sensing expertise

Clearance Level
Top Secret/SCI
Category
Systems Engineering
Location
Chantilly, Virginia
(Onsite Workplace)
Key Skills For Success

C (Programming Language)

C++ Programming Language

Python (Programming Language)

REQ#: RQ189131
Public Trust: None
Requisition Type: Pipeline
Job Description

What you will do:

As a Senior C/C++ Software Scientist, your talent and leadership abilities will be front and center.  You'll work with a team of extraordinary scientists, engineers, and analysts to develop ideas that meet customer needs and push the limits of truly advanced technologies.  You will develop algorithms and software, and access unique approaches to image data processing and exploitation for use in the latest ground processing architectures.  You will also work with existing C/C++ algorithms and advanced software automation, Machine Learning, target recognition, change detection, multi-source data fusion, and tracking.

  • Design, develop, document and test advanced, automated feature extraction in C/C++ and Python, algorithms.
  • Perform extraction from large geospatial/spectral datasets.
  • Development of processing architectures and software for use with customer systems and sensors.
  • Explore new algorithms / machine learning and artificial intelligence approaches for:
    • automated object detection / classification
    • feature extraction/target state estimation,
    • multi-source data fusion.
  • Document developed algorithms and transition them to the software team for incorporation into the production code base. 
  • Understand problem and technical approach based on underlying mathematical/heuristic models.
  • Demonstrate real data in real processing environments and meet critical mission requirements.
     

What you bring to the table:

  • U.S. citizenship is required.
  • Current TS/SCI security POLY must meet eligibility requirements for access to classified information.
  • Fluency in C/C++ and Python required experience.
  • 10 years of relevant experience
  • Master’s or PhD in Electrical Engineering, Physics, Image Science, Remote Sensing, Optics, or other Physical Science or Engineering degree is required

Highly Desired:

  • Master’s and 12 years or PhD with Post-degree work experience and post-doctoral work experience and will count towards experience.
  • AWS/Cloud development/computing and OpenCV
  • Working knowledge in statistical principles and probability theory, image segmentation, automated quantitative evaluation of image data, and feature extraction.
Work Requirements
Years of Experience

10 + years of related experience

* may vary based on technical training, certification(s), or degree

Certification

Travel Required

None

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $152,729 - $206,633. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.

About Our Work

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.